{"as_of":"2026-08-07T16:48:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:262d72bb3756866416af935e81a582a3d274b958cb55d2e67528e1ffdc35d08b","coverage":[{"denominator":61,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":61,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T21:24:32.201780Z","state":"measured"},{"denominator":65,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":65,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-07T06:34:17.273281+00:00","state":"measured"},{"denominator":4,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":4,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T21:24:26.751540Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-05-15T07:25:12.383160Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2507.00363","last_updated":"2025-07-01T01:29:31Z","snapshot_observed_at":"2026-08-07T00:25:59.881057Z","submitted_at":"2025-07-01T01:29:31Z","title":"GDGS: 3D Gaussian Splatting Via Geometry-Guided Initialization And Dynamic Density Control","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2507.00363","snapshot_observed_at":"2026-08-06T21:24:26.751540Z","title":"We discuss related works in traditional scene reconstruction, neural rendering, and point-based rendering","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2507.00363","last_updated":"2025-07-01T01:29:31Z","snapshot_observed_at":"2026-08-07T00:25:59.881057Z","submitted_at":"2025-07-01T01:29:31Z","title":"GDGS: 3D Gaussian Splatting Via Geometry-Guided Initialization And Dynamic Density Control","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-06T21:24:26.751540Z"},"links":{"cited_paper":"/paper/2507.00363","citing_paper":"/paper/2507.00363"},"observation_digest":"sha256:e0d6a9d5dde788bdee64ce040b0e238f85e2e31b67f698d265d4e990ab68c574","observation_id":"96d79fa1-c2c8-4c3a-b379-7e96d26bf9f3","resolution":{"observed_at":"2026-08-06T21:24:26.751540Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2507.00363","last_updated":"2025-07-01T01:29:31Z","snapshot_observed_at":"2026-08-07T00:25:59.881057Z","submitted_at":"2025-07-01T01:29:31Z","title":"GDGS: 3D Gaussian Splatting Via Geometry-Guided Initialization And Dynamic Density Control","version":1},"cited_work":{"arxiv_id":"2507.00363","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2507.00363","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"arXiv preprint arXiv:2507.00363 (2025)","venue":null,"work_id":"104849c0-1f6a-4b28-8843-ee6e1638d99a","year":2025},"citing_paper":{"arxiv_id":"2603.20714","last_updated":"2026-07-18T09:32:29Z","snapshot_observed_at":"2026-08-02T17:46:47.586652Z","submitted_at":"2026-03-21T08:37:36Z","title":"The Role of Initialization in 3D Gaussian Splatting","version":2},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-05-15T07:24:49.414630Z"},"links":{"cited_paper":"/paper/2507.00363","citing_paper":"/paper/2603.20714"},"observation_digest":"sha256:bc43a8b0b56baa048588f2174235a44b85b10ed4765c8bcebb2966bac9980f82","observation_id":"6c2b1fd6-ee47-4cc4-bac9-fcc95934d27c","resolution":{"observed_at":"2026-05-15T07:25:12.385835Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2507.00363","last_updated":"2025-07-01T01:29:31Z","snapshot_observed_at":"2026-08-07T00:25:59.881057Z","submitted_at":"2025-07-01T01:29:31Z","title":"GDGS: 3D Gaussian Splatting Via Geometry-Guided Initialization And Dynamic Density Control","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2507.00363","snapshot_observed_at":"2026-08-02T17:46:56.394489Z","title":"arXiv preprint arXiv:2507.00363 (2025)","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2603.20714","last_updated":"2026-07-18T09:32:29Z","snapshot_observed_at":"2026-08-02T17:46:47.586652Z","submitted_at":"2026-03-21T08:37:36Z","title":"The Role of Initialization in 3D Gaussian Splatting","version":3},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-02T17:46:56.394489Z"},"links":{"cited_paper":"/paper/2507.00363","citing_paper":"/paper/2603.20714"},"observation_digest":"sha256:2f0002d1d901be2bf031db373d200820965e5071b34fc21326135a155e61e854","observation_id":"c1d20454-fa54-409a-9275-cd52cd5de415","resolution":{"observed_at":"2026-08-02T17:46:56.394489Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2507.00363","last_updated":"2025-07-01T01:29:31Z","snapshot_observed_at":"2026-08-07T00:25:59.881057Z","submitted_at":"2025-07-01T01:29:31Z","title":"GDGS: 3D Gaussian Splatting Via Geometry-Guided Initialization And Dynamic Density Control","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2507.00363","snapshot_observed_at":"2026-07-31T15:16:36.231359Z","title":"GDGS: 3d gaussian splatting via geometry-guided initialization and dynamic density control.arXiv preprint arXiv:2507.00363,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.24424","last_updated":"2026-07-27T13:36:08Z","snapshot_observed_at":"2026-08-03T02:41:13.403175Z","submitted_at":"2026-07-27T13:36:08Z","title":"MAViE: A Multi-scale Adaptive Vision Encoder for Fine-grained Visual Perception and Efficient Multimodal Reasoning","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-07-31T15:16:36.231359Z"},"links":{"cited_paper":"/paper/2507.00363","citing_paper":"/paper/2607.24424"},"observation_digest":"sha256:a935814c28cc3788d8a0778e86821d81fa4a69d4fcaa33e72199bd1653031685","observation_id":"aff33c9b-f53e-4232-b2ac-e8a09bce3b99","resolution":{"observed_at":"2026-07-31T15:16:36.231359Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2507.00363/citation-record","integrity":"/paper/2507.00363/integrity","json":"/paper/2507.00363/citation-record.json","paper":"/paper/2507.00363"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:24:40.330513Z","title":"3D Gaussian Splatting (3DGS) [1]has emerged as a cutting-edge approach for capturing and render- ing 3D scenes from novel perspectives","venue":null,"work_id":"4a0d76e4-8846-45d4-bf7c-343da9dd543b","year":null},"citing_paper":{"arxiv_id":"2507.00363","last_updated":"2025-07-01T01:29:31Z","snapshot_observed_at":"2026-08-07T00:25:59.881057Z","submitted_at":"2025-07-01T01:29:31Z","title":"GDGS: 3D Gaussian Splatting Via Geometry-Guided Initialization And Dynamic Density Control","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-06T21:24:26.653025Z"},"links":{"citing_paper":"/paper/2507.00363"},"observation_digest":"sha256:64f7f9b2c424c8e41f027140a94a11a69df24fe44ee02f35124ddda7c6f6beab","observation_id":"8686d853-5744-4e6d-afeb-428b94e1d471","resolution":{"observed_at":"2026-08-06T21:24:40.379658Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2507.00363","last_updated":"2025-07-01T01:29:31Z","snapshot_observed_at":"2026-08-07T00:25:59.881057Z","submitted_at":"2025-07-01T01:29:31Z","title":"GDGS: 3D Gaussian Splatting Via Geometry-Guided Initialization And Dynamic Density Control","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2507.00363","snapshot_observed_at":"2026-08-06T21:24:26.751540Z","title":"We discuss related works in traditional scene reconstruction, neural rendering, and point-based rendering","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2507.00363","last_updated":"2025-07-01T01:29:31Z","snapshot_observed_at":"2026-08-07T00:25:59.881057Z","submitted_at":"2025-07-01T01:29:31Z","title":"GDGS: 3D Gaussian Splatting Via Geometry-Guided Initialization And Dynamic Density Control","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-06T21:24:26.751540Z"},"links":{"cited_paper":"/paper/2507.00363","citing_paper":"/paper/2507.00363"},"observation_digest":"sha256:e0d6a9d5dde788bdee64ce040b0e238f85e2e31b67f698d265d4e990ab68c574","observation_id":"96d79fa1-c2c8-4c3a-b379-7e96d26bf9f3","resolution":{"observed_at":"2026-08-06T21:24:26.751540Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:24:40.215966Z","title":null,"venue":null,"work_id":"2d4cab29-c486-4d63-8f73-7b870119311f","year":null},"citing_paper":{"arxiv_id":"2507.00363","last_updated":"2025-07-01T01:29:31Z","snapshot_observed_at":"2026-08-07T00:25:59.881057Z","submitted_at":"2025-07-01T01:29:31Z","title":"GDGS: 3D Gaussian Splatting Via Geometry-Guided Initialization And Dynamic Density Control","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-06T21:24:26.859440Z"},"links":{"citing_paper":"/paper/2507.00363"},"observation_digest":"sha256:b728dc4b206236b6341c7b41837f184b8a4827b772a500462eef120bf5b51d20","observation_id":"abc4c553-ec09-41a2-8fae-8cad3a9d97f4","resolution":{"observed_at":"2026-08-06T21:24:40.294245Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:24:40.059868Z","title":null,"venue":null,"work_id":"266da7ff-8d21-4791-818f-945e2e945eda","year":null},"citing_paper":{"arxiv_id":"2507.00363","last_updated":"2025-07-01T01:29:31Z","snapshot_observed_at":"2026-08-07T00:25:59.881057Z","submitted_at":"2025-07-01T01:29:31Z","title":"GDGS: 3D Gaussian Splatting Via Geometry-Guided Initialization And Dynamic Density Control","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-06T21:24:26.979244Z"},"links":{"citing_paper":"/paper/2507.00363"},"observation_digest":"sha256:1242a3337c312950403922e31441ebc2104c717e74bfedc5903df5d6d7d2d503","observation_id":"879cb503-4a24-490e-adc2-f795d7f84291","resolution":{"observed_at":"2026-08-06T21:24:40.146538Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:24:39.914834Z","title":"By using SfM data and an MLP for initialization, we achieve improved convergence and accuracy over the original 3DGS","venue":null,"work_id":"e6f9595c-81b0-48df-b683-acd3c2e5ce1b","year":null},"citing_paper":{"arxiv_id":"2507.00363","last_updated":"2025-07-01T01:29:31Z","snapshot_observed_at":"2026-08-07T00:25:59.881057Z","submitted_at":"2025-07-01T01:29:31Z","title":"GDGS: 3D Gaussian Splatting Via Geometry-Guided Initialization And Dynamic Density Control","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-06T21:24:27.129131Z"},"links":{"citing_paper":"/paper/2507.00363"},"observation_digest":"sha256:acdcc7aadb12ec49860779f8b5ccc92c7093dbdd57f3feeda24abaaea4f5021e","observation_id":"78a19f41-8104-4a57-91ec-f0266bd39782","resolution":{"observed_at":"2026-08-06T21:24:39.996243Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:24:39.794781Z","title":"3d gaussian splatting for real-time radiance field rendering,","venue":null,"work_id":"ec6f3dd1-b208-4ff2-8d13-a1678d469367","year":2023},"citing_paper":{"arxiv_id":"2507.00363","last_updated":"2025-07-01T01:29:31Z","snapshot_observed_at":"2026-08-07T00:25:59.881057Z","submitted_at":"2025-07-01T01:29:31Z","title":"GDGS: 3D Gaussian Splatting Via Geometry-Guided Initialization And Dynamic Density Control","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-06T21:24:27.254470Z"},"links":{"citing_paper":"/paper/2507.00363"},"observation_digest":"sha256:f68e9689ad14439a1478b1060694dd15875beb54283c94568c042667acc14aa8","observation_id":"8bea5cd9-6651-467e-ba9e-7241d973a0a6","resolution":{"observed_at":"2026-08-06T21:24:39.838659Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:24:39.683360Z","title":"Nerf: Representing scenes as neural radiance fields for view synthesis,","venue":null,"work_id":"89fb7782-bf4a-4591-8ada-dbc7d5349f0b","year":2020},"citing_paper":{"arxiv_id":"2507.00363","last_updated":"2025-07-01T01:29:31Z","snapshot_observed_at":"2026-08-07T00:25:59.881057Z","submitted_at":"2025-07-01T01:29:31Z","title":"GDGS: 3D Gaussian Splatting Via Geometry-Guided Initialization And Dynamic Density Control","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-06T21:24:27.408061Z"},"links":{"citing_paper":"/paper/2507.00363"},"observation_digest":"sha256:3d03ec13e794dcc20ed459a78c11ba70f601de74bb6162d2b136b7a8f6f2e8e3","observation_id":"29a183c2-0678-467d-ba3f-1c2f90abc82f","resolution":{"observed_at":"2026-08-06T21:24:39.731487Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:24:39.558536Z","title":"The lumigraph,","venue":null,"work_id":"844ac360-ed22-48e9-b6b3-47bb087f2bcb","year":1996},"citing_paper":{"arxiv_id":"2507.00363","last_updated":"2025-07-01T01:29:31Z","snapshot_observed_at":"2026-08-07T00:25:59.881057Z","submitted_at":"2025-07-01T01:29:31Z","title":"GDGS: 3D Gaussian Splatting Via Geometry-Guided Initialization And Dynamic Density Control","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-06T21:24:27.540149Z"},"links":{"citing_paper":"/paper/2507.00363"},"observation_digest":"sha256:d6e9342055fab37199c8fe3a19a8c7ee5c983866c554479c3e2cbbc14f6294f0","observation_id":"16646d00-b94d-4753-81cc-510ebb6f1e1b","resolution":{"observed_at":"2026-08-06T21:24:39.618052Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:24:39.422779Z","title":"Light field rendering,","venue":null,"work_id":"9c5ee6dc-1e13-49f3-ad94-5500a3f45a60","year":1996},"citing_paper":{"arxiv_id":"2507.00363","last_updated":"2025-07-01T01:29:31Z","snapshot_observed_at":"2026-08-07T00:25:59.881057Z","submitted_at":"2025-07-01T01:29:31Z","title":"GDGS: 3D Gaussian Splatting Via Geometry-Guided Initialization And Dynamic Density Control","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-06T21:24:27.644632Z"},"links":{"citing_paper":"/paper/2507.00363"},"observation_digest":"sha256:74b627cea6cc6da47d68c625b2ead207432443f1b0877cb071e598fab69cff9b","observation_id":"9b0e67c2-5a1a-4565-9fc3-6ec68a8d29ba","resolution":{"observed_at":"2026-08-06T21:24:39.509291Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:24:39.298663Z","title":"Unstructured lu- migraph rendering,","venue":null,"work_id":"89d7eff9-d491-400e-8273-7640f3691157","year":2001},"citing_paper":{"arxiv_id":"2507.00363","last_updated":"2025-07-01T01:29:31Z","snapshot_observed_at":"2026-08-07T00:25:59.881057Z","submitted_at":"2025-07-01T01:29:31Z","title":"GDGS: 3D Gaussian Splatting Via Geometry-Guided Initialization And Dynamic Density Control","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-06T21:24:27.749958Z"},"links":{"citing_paper":"/paper/2507.00363"},"observation_digest":"sha256:810ccaf4e93496d692ada278588fbeda11ff6066a00c277a323aefc097ba258e","observation_id":"97ed88b1-fd0f-46b9-859c-b5949499bd72","resolution":{"observed_at":"2026-08-06T21:24:39.349538Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:24:39.210377Z","title":"Photo tourism: Exploring photo collections in 3d,","venue":null,"work_id":"704f2831-7c8e-4361-83e2-fcaa91fd2822","year":2006},"citing_paper":{"arxiv_id":"2507.00363","last_updated":"2025-07-01T01:29:31Z","snapshot_observed_at":"2026-08-07T00:25:59.881057Z","submitted_at":"2025-07-01T01:29:31Z","title":"GDGS: 3D Gaussian Splatting Via Geometry-Guided Initialization And Dynamic Density Control","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-06T21:24:27.886665Z"},"links":{"citing_paper":"/paper/2507.00363"},"observation_digest":"sha256:96bd02d6fef1ff37892a9df422916c31f7015bf446ec9278bd43cb78da82ed83","observation_id":"08e22774-efb1-4b73-8edb-404971bc4875","resolution":{"observed_at":"2026-08-06T21:24:39.237220Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:24:39.085835Z","title":"Multi-view stereo for community photo collections,","venue":null,"work_id":"6637de16-fbff-4ea6-8489-d64755024e1d","year":2007},"citing_paper":{"arxiv_id":"2507.00363","last_updated":"2025-07-01T01:29:31Z","snapshot_observed_at":"2026-08-07T00:25:59.881057Z","submitted_at":"2025-07-01T01:29:31Z","title":"GDGS: 3D Gaussian Splatting Via Geometry-Guided Initialization And Dynamic Density Control","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-06T21:24:28.048696Z"},"links":{"citing_paper":"/paper/2507.00363"},"observation_digest":"sha256:8592a50d16f2540cf2918ff36550ee66642187d0b41bf04a9679b0837c0173e3","observation_id":"c73b8a56-3475-432d-a102-e7fdfc4a5230","resolution":{"observed_at":"2026-08-06T21:24:39.152191Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:24:38.963038Z","title":"Depth synthesis and local warps for plausible image-based navigation,","venue":null,"work_id":"13f7d1cc-71c4-42c9-8d19-3d7263a3f4b1","year":2013},"citing_paper":{"arxiv_id":"2507.00363","last_updated":"2025-07-01T01:29:31Z","snapshot_observed_at":"2026-08-07T00:25:59.881057Z","submitted_at":"2025-07-01T01:29:31Z","title":"GDGS: 3D Gaussian Splatting Via Geometry-Guided Initialization And Dynamic Density Control","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-06T21:24:28.174481Z"},"links":{"citing_paper":"/paper/2507.00363"},"observation_digest":"sha256:4bcf5943d2873b40b95c2eec5953838c2d69cf90544e0444486f10e8f5b108a6","observation_id":"4b09d43e-6432-4ccd-a0ea-3f67dfc19485","resolution":{"observed_at":"2026-08-06T21:24:39.031344Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:24:38.881895Z","title":"Floating tex- tures,","venue":null,"work_id":"ee518ac5-ba7a-498d-8f70-a14167ddd7a1","year":2008},"citing_paper":{"arxiv_id":"2507.00363","last_updated":"2025-07-01T01:29:31Z","snapshot_observed_at":"2026-08-07T00:25:59.881057Z","submitted_at":"2025-07-01T01:29:31Z","title":"GDGS: 3D Gaussian Splatting Via Geometry-Guided Initialization And Dynamic Density Control","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-06T21:24:28.271534Z"},"links":{"citing_paper":"/paper/2507.00363"},"observation_digest":"sha256:1b1ef309170fb5db83efce2eab3e39b9217e67e0f8050e6f178cfb7247f54071","observation_id":"3d5ce0a2-6217-43e0-be8b-703e18f36f3a","resolution":{"observed_at":"2026-08-06T21:24:38.926538Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:24:38.776882Z","title":"Deep blending for free-viewpoint image-based rendering,","venue":null,"work_id":"cb521f34-93d8-4d64-a777-d8e1221f2e85","year":2018},"citing_paper":{"arxiv_id":"2507.00363","last_updated":"2025-07-01T01:29:31Z","snapshot_observed_at":"2026-08-07T00:25:59.881057Z","submitted_at":"2025-07-01T01:29:31Z","title":"GDGS: 3D Gaussian Splatting Via Geometry-Guided Initialization And Dynamic Density Control","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-06T21:24:28.376757Z"},"links":{"citing_paper":"/paper/2507.00363"},"observation_digest":"sha256:d356876fca2df01c01899d41ac43e60959e839ed46323ade931a7dc0b1381ca1","observation_id":"0bf80ffa-244a-4a40-bea2-7ad62075146a","resolution":{"observed_at":"2026-08-06T21:24:38.820138Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:24:38.675063Z","title":"Point-based neural rendering with per-view optimization,","venue":null,"work_id":"f4adddcb-b5ec-42c8-95ee-1af3ea2ac756","year":2021},"citing_paper":{"arxiv_id":"2507.00363","last_updated":"2025-07-01T01:29:31Z","snapshot_observed_at":"2026-08-07T00:25:59.881057Z","submitted_at":"2025-07-01T01:29:31Z","title":"GDGS: 3D Gaussian Splatting Via Geometry-Guided Initialization And Dynamic Density Control","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-06T21:24:28.479040Z"},"links":{"citing_paper":"/paper/2507.00363"},"observation_digest":"sha256:f946b52c9f299d2336de931904c8ce00279ef7706eda5334e23e3da62b7a6444","observation_id":"7758e7f0-23a7-478c-bc71-6819ab416d93","resolution":{"observed_at":"2026-08-06T21:24:38.707734Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:24:38.585810Z","title":"Advances in neural rendering,","venue":null,"work_id":"09c8bd80-a1f6-4dfd-b32a-7be6b419f890","year":2022},"citing_paper":{"arxiv_id":"2507.00363","last_updated":"2025-07-01T01:29:31Z","snapshot_observed_at":"2026-08-07T00:25:59.881057Z","submitted_at":"2025-07-01T01:29:31Z","title":"GDGS: 3D Gaussian Splatting Via Geometry-Guided Initialization And Dynamic Density Control","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-06T21:24:28.560543Z"},"links":{"citing_paper":"/paper/2507.00363"},"observation_digest":"sha256:4ca8eb88426e830309b77cbb75c517e6d32af14e854d0fc6a52f945db20b980b","observation_id":"08ae1a8d-6d05-45c3-ac74-1e77071f8d41","resolution":{"observed_at":"2026-08-06T21:24:38.630717Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:24:38.415364Z","title":"Point sample rendering,","venue":null,"work_id":"bb31dd82-7e83-4570-9baa-3e72c5fbb706","year":1998},"citing_paper":{"arxiv_id":"2507.00363","last_updated":"2025-07-01T01:29:31Z","snapshot_observed_at":"2026-08-07T00:25:59.881057Z","submitted_at":"2025-07-01T01:29:31Z","title":"GDGS: 3D Gaussian Splatting Via Geometry-Guided Initialization And Dynamic Density Control","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-06T21:24:28.656756Z"},"links":{"citing_paper":"/paper/2507.00363"},"observation_digest":"sha256:0f2c21138edd6e4c541f33e67740c8afb606b06277b0f1155d2675ab564ad087","observation_id":"383abd9f-b6ee-4cd5-96f4-cc38cd2c3b3e","resolution":{"observed_at":"2026-08-06T21:24:38.488657Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:24:38.308739Z","title":"High-quality surface splatting on today’s gpus,","venue":null,"work_id":"1a5953ef-9861-4f17-8d93-6cbc4062a866","year":2005},"citing_paper":{"arxiv_id":"2507.00363","last_updated":"2025-07-01T01:29:31Z","snapshot_observed_at":"2026-08-07T00:25:59.881057Z","submitted_at":"2025-07-01T01:29:31Z","title":"GDGS: 3D Gaussian Splatting Via Geometry-Guided Initialization And Dynamic Density Control","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-06T21:24:28.783783Z"},"links":{"citing_paper":"/paper/2507.00363"},"observation_digest":"sha256:45fa7b7e42f8b5d244766bf75c3fdc4ab39edcd3838a490efda2d63a623d488e","observation_id":"3a371df8-c1d1-4f8e-b8b7-21c77d233779","resolution":{"observed_at":"2026-08-06T21:24:38.358096Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:24:38.203057Z","title":"Surfels: Surface elements as ren- dering primitives,","venue":null,"work_id":"1f58d76b-22f7-489c-a58e-41596601b2cf","year":2000},"citing_paper":{"arxiv_id":"2507.00363","last_updated":"2025-07-01T01:29:31Z","snapshot_observed_at":"2026-08-07T00:25:59.881057Z","submitted_at":"2025-07-01T01:29:31Z","title":"GDGS: 3D Gaussian Splatting Via Geometry-Guided Initialization And Dynamic Density Control","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-06T21:24:28.894957Z"},"links":{"citing_paper":"/paper/2507.00363"},"observation_digest":"sha256:9cff7c99e4c8d8efd2ade614e6af9c78af57782742f3f9dfb8b0ff7ae98fd289","observation_id":"948c08f8-38da-48c1-9c24-848d21f0fc26","resolution":{"observed_at":"2026-08-06T21:24:38.241781Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:24:38.029902Z","title":"Surface splatting,","venue":null,"work_id":"545fec94-3241-4077-b56c-221762cdc7c2","year":2001},"citing_paper":{"arxiv_id":"2507.00363","last_updated":"2025-07-01T01:29:31Z","snapshot_observed_at":"2026-08-07T00:25:59.881057Z","submitted_at":"2025-07-01T01:29:31Z","title":"GDGS: 3D Gaussian Splatting Via Geometry-Guided Initialization And Dynamic Density Control","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-06T21:24:28.998006Z"},"links":{"citing_paper":"/paper/2507.00363"},"observation_digest":"sha256:f8acde2c862d17b346318f2878e400cc7f519752108ba8798c2989a0301b505c","observation_id":"4a1ecab3-474d-4cc4-89fb-437b7d60c8e3","resolution":{"observed_at":"2026-08-06T21:24:38.107868Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:24:37.885158Z","title":"Neural point- based graphics,","venue":null,"work_id":"4574dedd-b25f-4100-8651-a8762e4de9f7","year":2020},"citing_paper":{"arxiv_id":"2507.00363","last_updated":"2025-07-01T01:29:31Z","snapshot_observed_at":"2026-08-07T00:25:59.881057Z","submitted_at":"2025-07-01T01:29:31Z","title":"GDGS: 3D Gaussian Splatting Via Geometry-Guided Initialization And Dynamic Density Control","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-06T21:24:29.094114Z"},"links":{"citing_paper":"/paper/2507.00363"},"observation_digest":"sha256:97d7a09097544021d21b54d98fb503069582b2e1a5d5b98353f0bcc034b13f22","observation_id":"51d7acc2-985d-4614-ba4b-480358e8657b","resolution":{"observed_at":"2026-08-06T21:24:37.966387Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:24:37.755258Z","title":"Adop: Approximate differentiable one-pixel point ren- dering,","venue":null,"work_id":"c1b7bb04-8b7f-4e69-b560-1733082d9f5b","year":2022},"citing_paper":{"arxiv_id":"2507.00363","last_updated":"2025-07-01T01:29:31Z","snapshot_observed_at":"2026-08-07T00:25:59.881057Z","submitted_at":"2025-07-01T01:29:31Z","title":"GDGS: 3D Gaussian Splatting Via Geometry-Guided Initialization And Dynamic Density Control","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-06T21:24:29.180444Z"},"links":{"citing_paper":"/paper/2507.00363"},"observation_digest":"sha256:310afc974869822a7601a0f73a55ae36dcdebc8772f8c9ccf9333ef208419162","observation_id":"ab762de0-f80a-49d3-90a3-16aaddafd243","resolution":{"observed_at":"2026-08-06T21:24:37.828272Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:24:37.667259Z","title":"Pulsar: Effi- cient sphere-based neural rendering,","venue":null,"work_id":"c9403a1c-ea83-4774-bc58-52fcfce91d15","year":2021},"citing_paper":{"arxiv_id":"2507.00363","last_updated":"2025-07-01T01:29:31Z","snapshot_observed_at":"2026-08-07T00:25:59.881057Z","submitted_at":"2025-07-01T01:29:31Z","title":"GDGS: 3D Gaussian Splatting Via Geometry-Guided Initialization And Dynamic Density Control","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-06T21:24:29.274017Z"},"links":{"citing_paper":"/paper/2507.00363"},"observation_digest":"sha256:5b7df1c06bd0d4d13f1b7d83ffde1627e60fb68cc65e620fcc0bfa2f13a64408","observation_id":"45a46778-021e-4508-83df-18e6d4ee02f1","resolution":{"observed_at":"2026-08-06T21:24:37.725213Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:24:37.538295Z","title":"Instant neural graphics primitives with a multiresolution hash encoding,","venue":null,"work_id":"72c91a69-0c2c-464b-baf4-ac3223b04259","year":2022},"citing_paper":{"arxiv_id":"2507.00363","last_updated":"2025-07-01T01:29:31Z","snapshot_observed_at":"2026-08-07T00:25:59.881057Z","submitted_at":"2025-07-01T01:29:31Z","title":"GDGS: 3D Gaussian Splatting Via Geometry-Guided Initialization And Dynamic Density Control","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-06T21:24:29.382711Z"},"links":{"citing_paper":"/paper/2507.00363"},"observation_digest":"sha256:67a2eb95359440d79d2cf40732a3040cf053d22eb155d4559c2a66383fab4182","observation_id":"2204e64e-1ca7-40a5-91c2-b324148839fe","resolution":{"observed_at":"2026-08-06T21:24:37.591114Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:24:37.403353Z","title":"Sugar: Surface- aligned gaussian splatting for efficient 3d mesh recon- struction and high-quality mesh rendering,","venue":null,"work_id":"cb5b8158-de5a-4bac-b96b-02deab72b427","year":2024},"citing_paper":{"arxiv_id":"2507.00363","last_updated":"2025-07-01T01:29:31Z","snapshot_observed_at":"2026-08-07T00:25:59.881057Z","submitted_at":"2025-07-01T01:29:31Z","title":"GDGS: 3D Gaussian Splatting Via Geometry-Guided Initialization And Dynamic Density Control","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-06T21:24:29.496681Z"},"links":{"citing_paper":"/paper/2507.00363"},"observation_digest":"sha256:37b38323165c022d1e746ee7d5d9f77331c09f2d71dbacf374cca922214f0059","observation_id":"bac5818e-1ace-4ea4-b723-9b7c9e4f90fe","resolution":{"observed_at":"2026-08-06T21:24:37.442184Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:24:37.257512Z","title":"Multi-scale 3d gaussian splatting for anti-aliased rendering,","venue":null,"work_id":"6595a069-9bf6-49a9-a013-872642d794f5","year":2024},"citing_paper":{"arxiv_id":"2507.00363","last_updated":"2025-07-01T01:29:31Z","snapshot_observed_at":"2026-08-07T00:25:59.881057Z","submitted_at":"2025-07-01T01:29:31Z","title":"GDGS: 3D Gaussian Splatting Via Geometry-Guided Initialization And Dynamic Density Control","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-06T21:24:29.632904Z"},"links":{"citing_paper":"/paper/2507.00363"},"observation_digest":"sha256:3d18ccf6dceb6a11e7cd4e839be969980e5a901345029e5df9a3934f1f4820e3","observation_id":"34c43d5b-e127-4c30-a69f-18a51f4a37f3","resolution":{"observed_at":"2026-08-06T21:24:37.316539Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:24:37.114051Z","title":"Densenet-based land cover classification network with deep fusion,","venue":null,"work_id":"cab49aa2-51bc-48db-9fde-540b3862329c","year":2021},"citing_paper":{"arxiv_id":"2507.00363","last_updated":"2025-07-01T01:29:31Z","snapshot_observed_at":"2026-08-07T00:25:59.881057Z","submitted_at":"2025-07-01T01:29:31Z","title":"GDGS: 3D Gaussian Splatting Via Geometry-Guided Initialization And Dynamic Density Control","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-06T21:24:29.753214Z"},"links":{"citing_paper":"/paper/2507.00363"},"observation_digest":"sha256:d09e5e0e84672225c02e7dd0d2f77e29975a8bf99f67a6be6c40dc75eca3b142","observation_id":"62b0da69-e027-4b68-97ac-a87eab3a3cc8","resolution":{"observed_at":"2026-08-06T21:24:37.175502Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:24:36.972347Z","title":"Uhrsnet: A semantic segmentation network specifi- cally for ultra-high-resolution images,","venue":null,"work_id":"0b631e49-7ed0-4e21-93f1-7f9482ff0809","year":2021},"citing_paper":{"arxiv_id":"2507.00363","last_updated":"2025-07-01T01:29:31Z","snapshot_observed_at":"2026-08-07T00:25:59.881057Z","submitted_at":"2025-07-01T01:29:31Z","title":"GDGS: 3D Gaussian Splatting Via Geometry-Guided Initialization And Dynamic Density Control","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-06T21:24:29.903718Z"},"links":{"citing_paper":"/paper/2507.00363"},"observation_digest":"sha256:6c82539068eda5bf7e16331b085da57d8db86fa23c4defc0052f6aa781a7445a","observation_id":"9d55f698-22fd-4626-accc-75ef291fa1f0","resolution":{"observed_at":"2026-08-06T21:24:37.049484Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:24:36.822657Z","title":"Class-incremental learning for semantic segmentation in aerial imagery via distillation in all aspects,","venue":null,"work_id":"23a9d393-d0aa-400d-8e92-fa0f6ed83449","year":2021},"citing_paper":{"arxiv_id":"2507.00363","last_updated":"2025-07-01T01:29:31Z","snapshot_observed_at":"2026-08-07T00:25:59.881057Z","submitted_at":"2025-07-01T01:29:31Z","title":"GDGS: 3D Gaussian Splatting Via Geometry-Guided Initialization And Dynamic Density Control","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-06T21:24:30.125534Z"},"links":{"citing_paper":"/paper/2507.00363"},"observation_digest":"sha256:f7350be26fb2933f8e74d407ad1865fe8da62795ad89fcde6c1347b6481cc670","observation_id":"878f1271-d374-4dfa-a117-92415a329f45","resolution":{"observed_at":"2026-08-06T21:24:36.911476Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:24:36.666163Z","title":"De- couple the high-frequency and low-frequency informa- tion of images for semantic segmentation,","venue":null,"work_id":"4429b6ca-dfbc-4ad5-b9f4-e8903718eb7c","year":2021},"citing_paper":{"arxiv_id":"2507.00363","last_updated":"2025-07-01T01:29:31Z","snapshot_observed_at":"2026-08-07T00:25:59.881057Z","submitted_at":"2025-07-01T01:29:31Z","title":"GDGS: 3D Gaussian Splatting Via Geometry-Guided Initialization And Dynamic Density Control","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-06T21:24:30.337379Z"},"links":{"citing_paper":"/paper/2507.00363"},"observation_digest":"sha256:490e94e88590ee316cc9eeccdf2cb8c74478da4487fcdd5e9905d310da2b54d4","observation_id":"897a524e-a831-4e55-aab1-532c1c9c9192","resolution":{"observed_at":"2026-08-06T21:24:36.752942Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:24:36.527070Z","title":"Mbnet: A multi- resolution branch network for semantic segmentation of ultra-high resolution images,","venue":null,"work_id":"77afd078-f5d5-44b5-99fe-e131ec344ee4","year":2022},"citing_paper":{"arxiv_id":"2507.00363","last_updated":"2025-07-01T01:29:31Z","snapshot_observed_at":"2026-08-07T00:25:59.881057Z","submitted_at":"2025-07-01T01:29:31Z","title":"GDGS: 3D Gaussian Splatting Via Geometry-Guided Initialization And Dynamic Density Control","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-06T21:24:30.495806Z"},"links":{"citing_paper":"/paper/2507.00363"},"observation_digest":"sha256:ec6742a460981c11c8b1e864f7f1f1f9fca5ef066202653ffaa1242523e4af18","observation_id":"5f5f0781-5de9-4124-a23b-f3015c45d7e2","resolution":{"observed_at":"2026-08-06T21:24:36.630907Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:24:36.360958Z","title":"Class-incremental semantic segmentation of aerial im- ages via pixel-level feature generation and task-wise dis- tillation,","venue":null,"work_id":"654c1d26-4f7f-4788-9ef2-8072e4da50c4","year":2022},"citing_paper":{"arxiv_id":"2507.00363","last_updated":"2025-07-01T01:29:31Z","snapshot_observed_at":"2026-08-07T00:25:59.881057Z","submitted_at":"2025-07-01T01:29:31Z","title":"GDGS: 3D Gaussian Splatting Via Geometry-Guided Initialization And Dynamic Density Control","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-06T21:24:30.699412Z"},"links":{"citing_paper":"/paper/2507.00363"},"observation_digest":"sha256:a95cd00763f370a283234ae857f657fa227a36997e10f657c68a5cc33dfac5b2","observation_id":"658936df-9ed8-4fc4-a689-b9c32c1c48c3","resolution":{"observed_at":"2026-08-06T21:24:36.478511Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:24:36.234785Z","title":"Global-local attention network for se- mantic segmentation in aerial images,","venue":null,"work_id":"25c423b0-23c3-401f-b734-1efff909611b","year":2021},"citing_paper":{"arxiv_id":"2507.00363","last_updated":"2025-07-01T01:29:31Z","snapshot_observed_at":"2026-08-07T00:25:59.881057Z","submitted_at":"2025-07-01T01:29:31Z","title":"GDGS: 3D Gaussian Splatting Via Geometry-Guided Initialization And Dynamic Density Control","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-06T21:24:30.852254Z"},"links":{"citing_paper":"/paper/2507.00363"},"observation_digest":"sha256:3d9f909441a905d3eb9a53dc088e854b9e199906a08dc5c256a5c93abb77e81d","observation_id":"5d7a08ce-d7eb-4cda-abc0-14c13f7b48b8","resolution":{"observed_at":"2026-08-06T21:24:36.322589Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:24:36.075124Z","title":"Continual learn- ing for image segmentation with dynamic query,","venue":null,"work_id":"76a3a47e-130e-47b2-b402-f8420f016ccb","year":2023},"citing_paper":{"arxiv_id":"2507.00363","last_updated":"2025-07-01T01:29:31Z","snapshot_observed_at":"2026-08-07T00:25:59.881057Z","submitted_at":"2025-07-01T01:29:31Z","title":"GDGS: 3D Gaussian Splatting Via Geometry-Guided Initialization And Dynamic Density Control","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-06T21:24:31.036060Z"},"links":{"citing_paper":"/paper/2507.00363"},"observation_digest":"sha256:9fcfb7065d5da804c803d746b8451ce973cedca2d67805e0f878c64cfdab29b8","observation_id":"6d25fca3-5efd-4abf-a9b7-732a5dd6f50e","resolution":{"observed_at":"2026-08-06T21:24:36.166296Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:24:35.971222Z","title":"In- cremental few shot semantic segmentation via class- agnostic mask proposal and language-driven classifier,","venue":null,"work_id":"faeaadb9-31d7-4c4c-97b0-376d8ed0b467","year":2023},"citing_paper":{"arxiv_id":"2507.00363","last_updated":"2025-07-01T01:29:31Z","snapshot_observed_at":"2026-08-07T00:25:59.881057Z","submitted_at":"2025-07-01T01:29:31Z","title":"GDGS: 3D Gaussian Splatting Via Geometry-Guided Initialization And Dynamic Density Control","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-06T21:24:31.082887Z"},"links":{"citing_paper":"/paper/2507.00363"},"observation_digest":"sha256:adeaf61091760ddff411035306fe09a2889d909f78d03da3e0cff0b645de3978","observation_id":"1a644c59-4082-4c12-81ea-3d7fa2ff01e8","resolution":{"observed_at":"2026-08-06T21:24:36.030501Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2405.17916","last_updated":"2024-05-28T07:37:44Z","snapshot_observed_at":"2026-07-06T18:21:05.410042Z","submitted_at":"2024-05-28T07:37:44Z","title":"Boosting General Trimap-free Matting in the Real-World Image","version":1},"cited_work":{"arxiv_id":"2405.17916","doi":null,"metadata_source":"pith","pith_arxiv_id":"2405.17916","snapshot_observed_at":"2026-08-06T21:24:33.865566Z","title":"Boosting General Trimap-free Matting in the Real-World Image","venue":"cs.CV","work_id":"592a2f41-4e58-4c3c-9fc4-b66e0f0879dd","year":2024},"citing_paper":{"arxiv_id":"2507.00363","last_updated":"2025-07-01T01:29:31Z","snapshot_observed_at":"2026-08-07T00:25:59.881057Z","submitted_at":"2025-07-01T01:29:31Z","title":"GDGS: 3D Gaussian Splatting Via Geometry-Guided Initialization And Dynamic Density Control","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-06T21:24:31.102297Z"},"links":{"cited_paper":"/paper/2405.17916","citing_paper":"/paper/2507.00363"},"observation_digest":"sha256:c98aeb5b2bdf1590f19c38b5e6da82396796a22f96971cb868276ae20acd4ecd","observation_id":"b906fe8d-4bae-4f1c-851c-38e42c27f77b","resolution":{"observed_at":"2026-08-06T21:24:33.934910Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:24:35.827205Z","title":"A data-related patch pro- posal for semantic segmentation of aerial images,","venue":null,"work_id":"c1718f95-14d8-47a1-9ff3-ba1fd9aa5dcb","year":2023},"citing_paper":{"arxiv_id":"2507.00363","last_updated":"2025-07-01T01:29:31Z","snapshot_observed_at":"2026-08-07T00:25:59.881057Z","submitted_at":"2025-07-01T01:29:31Z","title":"GDGS: 3D Gaussian Splatting Via Geometry-Guided Initialization And Dynamic Density Control","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-06T21:24:31.121767Z"},"links":{"citing_paper":"/paper/2507.00363"},"observation_digest":"sha256:898f0c475054bfe0ea9f010a947e80fda08cae8b41b03238c6d9f70508e35036","observation_id":"d638f03e-aa64-4cf0-bdde-f0cdd9d1b6e5","resolution":{"observed_at":"2026-08-06T21:24:35.885207Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:24:35.695130Z","title":"End- to-end remote sensing change detection of unregis- tered bi-temporal images for natural disasters,","venue":null,"work_id":"aaa898bd-ee4d-4c83-a788-3fbe7c301f89","year":2023},"citing_paper":{"arxiv_id":"2507.00363","last_updated":"2025-07-01T01:29:31Z","snapshot_observed_at":"2026-08-07T00:25:59.881057Z","submitted_at":"2025-07-01T01:29:31Z","title":"GDGS: 3D Gaussian Splatting Via Geometry-Guided Initialization And Dynamic Density Control","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-06T21:24:31.155438Z"},"links":{"citing_paper":"/paper/2507.00363"},"observation_digest":"sha256:82c83c45b117cbaa7d856ec27fb125b2684ba9ef008e0dddf939bd8c150cb1b4","observation_id":"1222c8f5-b826-484a-929b-cb8d4a22c06c","resolution":{"observed_at":"2026-08-06T21:24:35.746069Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2405.18663","last_updated":"2024-05-28T23:57:48Z","snapshot_observed_at":"2026-08-05T09:04:23.297133Z","submitted_at":"2024-05-28T23:57:48Z","title":"Lifelong Learning and Selective Forgetting via Contrastive Strategy","version":1},"cited_work":{"arxiv_id":"2405.18663","doi":null,"metadata_source":"pith","pith_arxiv_id":"2405.18663","snapshot_observed_at":"2026-08-06T21:24:33.650948Z","title":"Lifelong Learning and Selective Forgetting via Contrastive Strategy","venue":"cs.AI","work_id":"f82ac54b-f42f-4004-9468-37e6b16d4bf6","year":2024},"citing_paper":{"arxiv_id":"2507.00363","last_updated":"2025-07-01T01:29:31Z","snapshot_observed_at":"2026-08-07T00:25:59.881057Z","submitted_at":"2025-07-01T01:29:31Z","title":"GDGS: 3D Gaussian Splatting Via Geometry-Guided Initialization And Dynamic Density Control","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-06T21:24:31.183903Z"},"links":{"cited_paper":"/paper/2405.18663","citing_paper":"/paper/2507.00363"},"observation_digest":"sha256:3892da9213f4ce71c11b7a3a55c2683192288b906b9c82fb558ea661892ef087","observation_id":"35e6a6fb-4d53-4e1c-8987-c1744ae5329b","resolution":{"observed_at":"2026-08-06T21:24:33.756449Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2504.02441","last_updated":"2025-04-24T01:47:25Z","snapshot_observed_at":"2026-08-07T16:12:02.898369Z","submitted_at":"2025-04-03T09:58:19Z","title":"Cognitive Memory in Large Language Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2504.02441","snapshot_observed_at":"2026-08-06T21:24:31.210609Z","title":"Cognitive memory in large language mod- els,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2507.00363","last_updated":"2025-07-01T01:29:31Z","snapshot_observed_at":"2026-08-07T00:25:59.881057Z","submitted_at":"2025-07-01T01:29:31Z","title":"GDGS: 3D Gaussian Splatting Via Geometry-Guided Initialization And Dynamic Density Control","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-06T21:24:31.210609Z"},"links":{"cited_paper":"/paper/2504.02441","citing_paper":"/paper/2507.00363"},"observation_digest":"sha256:e9c5190f0432b89c4a7bf0b59723af468a6bc6b7eb642022c2831a6d36417929","observation_id":"947bd706-259d-4f5a-9e92-e7e54155bd94","resolution":{"observed_at":"2026-08-06T21:24:31.210609Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:24:35.519032Z","title":"Dlnet: A dual-level network with self-and cross-attention for high-resolution remote sensing seg- mentation,","venue":null,"work_id":"2e3d9c7e-72c8-4f15-a8ba-d9f1887bee9d","year":2025},"citing_paper":{"arxiv_id":"2507.00363","last_updated":"2025-07-01T01:29:31Z","snapshot_observed_at":"2026-08-07T00:25:59.881057Z","submitted_at":"2025-07-01T01:29:31Z","title":"GDGS: 3D Gaussian Splatting Via Geometry-Guided Initialization And Dynamic Density Control","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-06T21:24:31.243812Z"},"links":{"citing_paper":"/paper/2507.00363"},"observation_digest":"sha256:bb7faf7e1a29d96b784a169485f701e4444f6c00bf5dc80482add656142800f9","observation_id":"42fd19a4-2460-4e0a-989f-6fe8069f71f9","resolution":{"observed_at":"2026-08-06T21:24:35.603670Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:24:35.306916Z","title":"Transform dual- branch attention net: Efficient semantic segmentation of ultra-high-resolution remote sensing images,","venue":null,"work_id":"8ef755b5-95f7-4d99-8ef1-b868bf986ee0","year":2025},"citing_paper":{"arxiv_id":"2507.00363","last_updated":"2025-07-01T01:29:31Z","snapshot_observed_at":"2026-08-07T00:25:59.881057Z","submitted_at":"2025-07-01T01:29:31Z","title":"GDGS: 3D Gaussian Splatting Via Geometry-Guided Initialization And Dynamic Density Control","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-06T21:24:31.270864Z"},"links":{"citing_paper":"/paper/2507.00363"},"observation_digest":"sha256:9d20c23f25a4136046a52f8a88f979b1359e5c4172500da7279d45ab9f8a2cf9","observation_id":"c1850783-47a4-4ef8-a110-dc29a7563cb9","resolution":{"observed_at":"2026-08-06T21:24:35.409942Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:24:35.133615Z","title":"Fusing multitask models by recursive least squares,","venue":null,"work_id":"6ea4513b-e6d2-4480-8fff-df3ff4517e9f","year":2021},"citing_paper":{"arxiv_id":"2507.00363","last_updated":"2025-07-01T01:29:31Z","snapshot_observed_at":"2026-08-07T00:25:59.881057Z","submitted_at":"2025-07-01T01:29:31Z","title":"GDGS: 3D Gaussian Splatting Via Geometry-Guided Initialization And Dynamic Density Control","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-06T21:24:31.303508Z"},"links":{"citing_paper":"/paper/2507.00363"},"observation_digest":"sha256:f5de89a840e5ad703d4bde7021593c8754ac4e4521f9dcdd9e6b71e5c8f47ad6","observation_id":"3d092597-889c-47b2-88f1-d89bd242a698","resolution":{"observed_at":"2026-08-06T21:24:35.248308Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:24:34.971521Z","title":"Ldnet: Semantic seg- mentation of high-resolution images via learnable patch proposal and dynamic refinement,","venue":null,"work_id":"caa1d5d9-27ab-4a27-8381-80bfc8bcc9cd","year":2024},"citing_paper":{"arxiv_id":"2507.00363","last_updated":"2025-07-01T01:29:31Z","snapshot_observed_at":"2026-08-07T00:25:59.881057Z","submitted_at":"2025-07-01T01:29:31Z","title":"GDGS: 3D Gaussian Splatting Via Geometry-Guided Initialization And Dynamic Density Control","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-06T21:24:31.329336Z"},"links":{"citing_paper":"/paper/2507.00363"},"observation_digest":"sha256:148cdfc7c3d702d97eb8e6b9b7173ae6c80e73f06e8b4da9fbcf31dab383a5dc","observation_id":"3334e514-2b93-4ec8-9d49-571f3ed3d042","resolution":{"observed_at":"2026-08-06T21:24:35.056030Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2405.19568","last_updated":"2024-05-29T23:22:12Z","snapshot_observed_at":"2026-07-06T18:22:18.644161Z","submitted_at":"2024-05-29T23:22:12Z","title":"Organizing Background to Explore Latent Classes for Incremental Few-shot Semantic Segmentation","version":1},"cited_work":{"arxiv_id":"2405.19568","doi":null,"metadata_source":"pith","pith_arxiv_id":"2405.19568","snapshot_observed_at":"2026-08-06T21:24:33.453657Z","title":"Organizing Background to Explore Latent Classes for Incremental Few-shot Semantic Segmentation","venue":"cs.CV","work_id":"9e558742-4ad1-4bed-86dc-3ab63c41fa76","year":2024},"citing_paper":{"arxiv_id":"2507.00363","last_updated":"2025-07-01T01:29:31Z","snapshot_observed_at":"2026-08-07T00:25:59.881057Z","submitted_at":"2025-07-01T01:29:31Z","title":"GDGS: 3D Gaussian Splatting Via Geometry-Guided Initialization And Dynamic Density Control","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-06T21:24:31.358348Z"},"links":{"cited_paper":"/paper/2405.19568","citing_paper":"/paper/2507.00363"},"observation_digest":"sha256:78d60f791c6cc1c7524f8af9f1c006559ae2b04e0cd521e841324a95267d0265","observation_id":"2546b220-4317-4c2f-b47e-4d49d99d16e7","resolution":{"observed_at":"2026-08-06T21:24:33.519154Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2405.18078","last_updated":"2024-05-28T11:39:36Z","snapshot_observed_at":"2026-08-06T16:02:37.332941Z","submitted_at":"2024-05-28T11:39:36Z","title":"Edge-guided and Class-balanced Active Learning for Semantic Segmentation of Aerial Images","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.18078","snapshot_observed_at":"2026-08-06T21:24:31.389645Z","title":"Edge-guided and class-balanced active learning for se- mantic segmentation of aerial images,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.00363","last_updated":"2025-07-01T01:29:31Z","snapshot_observed_at":"2026-08-07T00:25:59.881057Z","submitted_at":"2025-07-01T01:29:31Z","title":"GDGS: 3D Gaussian Splatting Via Geometry-Guided Initialization And Dynamic Density Control","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-06T21:24:31.389645Z"},"links":{"cited_paper":"/paper/2405.18078","citing_paper":"/paper/2507.00363"},"observation_digest":"sha256:b27d35ace4f7ac901fa95731ff06d1ad620a869ee1dc6f3524a02cf919b2e9e2","observation_id":"365574ec-d2cb-4db1-9cb0-c5b0cdda45f2","resolution":{"observed_at":"2026-08-06T21:24:31.389645Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2405.17776","last_updated":"2024-05-28T03:12:33Z","snapshot_observed_at":"2026-07-06T18:21:01.419111Z","submitted_at":"2024-05-28T03:12:33Z","title":"The Binary Quantized Neural Network for Dense Prediction via Specially Designed Upsampling and Attention","version":1},"cited_work":{"arxiv_id":"2405.17776","doi":null,"metadata_source":"pith","pith_arxiv_id":"2405.17776","snapshot_observed_at":"2026-08-06T21:24:33.264232Z","title":"The Binary Quantized Neural Network for Dense Prediction via Specially Designed Upsampling and Attention","venue":"cs.LG","work_id":"450300bf-5c58-49df-99d3-4ea26da9e388","year":2024},"citing_paper":{"arxiv_id":"2507.00363","last_updated":"2025-07-01T01:29:31Z","snapshot_observed_at":"2026-08-07T00:25:59.881057Z","submitted_at":"2025-07-01T01:29:31Z","title":"GDGS: 3D Gaussian Splatting Via Geometry-Guided Initialization And Dynamic Density Control","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-06T21:24:31.415368Z"},"links":{"cited_paper":"/paper/2405.17776","citing_paper":"/paper/2507.00363"},"observation_digest":"sha256:70827d26b4eb69d4affb789b5b88a187145af0ff8900d30adabe5ff268164a88","observation_id":"ceae321e-e66e-4687-b5c4-1ec0e8929d05","resolution":{"observed_at":"2026-08-06T21:24:33.359225Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:24:34.848750Z","title":"Energy minimum regularization in continual learning,","venue":null,"work_id":"0b0ad752-8e7a-42be-a7a9-30423a084b4e","year":2021},"citing_paper":{"arxiv_id":"2507.00363","last_updated":"2025-07-01T01:29:31Z","snapshot_observed_at":"2026-08-07T00:25:59.881057Z","submitted_at":"2025-07-01T01:29:31Z","title":"GDGS: 3D Gaussian Splatting Via Geometry-Guided Initialization And Dynamic Density Control","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-06T21:24:31.448951Z"},"links":{"citing_paper":"/paper/2507.00363"},"observation_digest":"sha256:5b0e9051aad57d90738dc744702485e3d0ff095aa245d54b989bbdd24722a9a7","observation_id":"a7465601-7015-40e2-8504-28598e233477","resolution":{"observed_at":"2026-08-06T21:24:34.936703Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:24:34.694985Z","title":"Boosting semantic segmentation of aerial images via decoupled and multilevel compaction and dispersion,","venue":null,"work_id":"7748129b-9d19-420b-b1d7-6c44fca6dddd","year":2023},"citing_paper":{"arxiv_id":"2507.00363","last_updated":"2025-07-01T01:29:31Z","snapshot_observed_at":"2026-08-07T00:25:59.881057Z","submitted_at":"2025-07-01T01:29:31Z","title":"GDGS: 3D Gaussian Splatting Via Geometry-Guided Initialization And Dynamic Density Control","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-06T21:24:31.476416Z"},"links":{"citing_paper":"/paper/2507.00363"},"observation_digest":"sha256:24b216ad3975a98a9bf9ff18282970609c1c3ef5a07801437ff31b733dc4fc3d","observation_id":"323786b8-423d-4479-9e78-57415892d647","resolution":{"observed_at":"2026-08-06T21:24:34.788708Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2503.07209","last_updated":"2025-03-10T11:48:26Z","snapshot_observed_at":"2026-08-06T01:55:46.333897Z","submitted_at":"2025-03-10T11:48:26Z","title":"Synthetic Lung X-ray Generation through Cross-Attention and Affinity Transformation","version":1},"cited_work":{"arxiv_id":"2503.07209","doi":null,"metadata_source":"pith","pith_arxiv_id":"2503.07209","snapshot_observed_at":"2026-08-06T21:24:33.086323Z","title":"Synthetic Lung X-ray Generation through Cross-Attention and Affinity Transformation","venue":"cs.CV","work_id":"5e433bcd-f71d-442d-9c99-04c895d5eabe","year":2025},"citing_paper":{"arxiv_id":"2507.00363","last_updated":"2025-07-01T01:29:31Z","snapshot_observed_at":"2026-08-07T00:25:59.881057Z","submitted_at":"2025-07-01T01:29:31Z","title":"GDGS: 3D Gaussian Splatting Via Geometry-Guided Initialization And Dynamic Density Control","version":1},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-06T21:24:31.506613Z"},"links":{"cited_paper":"/paper/2503.07209","citing_paper":"/paper/2507.00363"},"observation_digest":"sha256:a26b95b9ec42c4ea3d9b5d82e5274163eb8702875b7ce0337ee532085e1a8800","observation_id":"7904220a-a02c-4ff3-8487-454ab0b0e57b","resolution":{"observed_at":"2026-08-06T21:24:33.184027Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2503.11265","last_updated":"2025-03-14T10:19:24Z","snapshot_observed_at":"2026-07-06T20:52:37.081347Z","submitted_at":"2025-03-14T10:19:24Z","title":"DynRsl-VLM: Enhancing Autonomous Driving Perception with Dynamic Resolution Vision-Language Models","version":1},"cited_work":{"arxiv_id":"2503.11265","doi":null,"metadata_source":"pith","pith_arxiv_id":"2503.11265","snapshot_observed_at":"2026-08-06T21:24:32.879740Z","title":"DynRsl-VLM: Enhancing Autonomous Driving Perception with Dynamic Resolution Vision-Language Models","venue":"cs.CV","work_id":"91c3e31a-2816-42be-a7fc-63f489a2b329","year":2025},"citing_paper":{"arxiv_id":"2507.00363","last_updated":"2025-07-01T01:29:31Z","snapshot_observed_at":"2026-08-07T00:25:59.881057Z","submitted_at":"2025-07-01T01:29:31Z","title":"GDGS: 3D Gaussian Splatting Via Geometry-Guided Initialization And Dynamic Density Control","version":1},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-06T21:24:31.535455Z"},"links":{"cited_paper":"/paper/2503.11265","citing_paper":"/paper/2507.00363"},"observation_digest":"sha256:ce92ad1a4ea6f34dfaf506252b23759a45e0fb243d17ca653234a5ef44091683","observation_id":"e3019de6-5e03-476c-ab78-8cac4c8f5b47","resolution":{"observed_at":"2026-08-06T21:24:32.974124Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:24:34.595676Z","title":"Flexdataset: Crafting an- notated dataset generation for diverse applications,","venue":null,"work_id":"7af4e074-b1ca-4cc2-93dc-50201ad6e174","year":2025},"citing_paper":{"arxiv_id":"2507.00363","last_updated":"2025-07-01T01:29:31Z","snapshot_observed_at":"2026-08-07T00:25:59.881057Z","submitted_at":"2025-07-01T01:29:31Z","title":"GDGS: 3D Gaussian Splatting Via Geometry-Guided Initialization And Dynamic Density Control","version":1},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-06T21:24:31.570140Z"},"links":{"citing_paper":"/paper/2507.00363"},"observation_digest":"sha256:0c49b419fa48c7ecc5ef4931c63994909e050fb0f743d7f7dd6858452c810028","observation_id":"0b027ccb-2d7e-4a40-85b8-1c16c3158ecd","resolution":{"observed_at":"2026-08-06T21:24:34.639338Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2505.13306","last_updated":"2025-05-19T16:25:55Z","snapshot_observed_at":"2026-08-07T15:43:04.901398Z","submitted_at":"2025-05-19T16:25:55Z","title":"GMM-Based Comprehensive Feature Extraction and Relative Distance Preservation For Few-Shot Cross-Modal Retrieval","version":1},"cited_work":{"arxiv_id":"2505.13306","doi":null,"metadata_source":"pith","pith_arxiv_id":"2505.13306","snapshot_observed_at":"2026-08-06T21:24:32.687802Z","title":"GMM-Based Comprehensive Feature Extraction and Relative Distance Preservation For Few-Shot Cross-Modal Retrieval","venue":"cs.CV","work_id":"50dbd54a-3b42-4247-b28b-f5c44169dc6f","year":2025},"citing_paper":{"arxiv_id":"2507.00363","last_updated":"2025-07-01T01:29:31Z","snapshot_observed_at":"2026-08-07T00:25:59.881057Z","submitted_at":"2025-07-01T01:29:31Z","title":"GDGS: 3D Gaussian Splatting Via Geometry-Guided Initialization And Dynamic Density Control","version":1},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-06T21:24:31.640969Z"},"links":{"cited_paper":"/paper/2505.13306","citing_paper":"/paper/2507.00363"},"observation_digest":"sha256:aec25234cb2df29e5c6e2e582d642e11874e64bca024f58fbda3fc4639d33b98","observation_id":"93540a2f-6943-4994-8f82-572da41d3926","resolution":{"observed_at":"2026-08-06T21:24:32.793578Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2505.12396","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:24:32.562780Z","title":"Llm-cot enhanced graph neural rec- ommendation with harmonized group policy optimiza- tion,","venue":null,"work_id":"ac520fd3-59e7-4e8e-8150-ed33df7bd499","year":2025},"citing_paper":{"arxiv_id":"2507.00363","last_updated":"2025-07-01T01:29:31Z","snapshot_observed_at":"2026-08-07T00:25:59.881057Z","submitted_at":"2025-07-01T01:29:31Z","title":"GDGS: 3D Gaussian Splatting Via Geometry-Guided Initialization And Dynamic Density Control","version":1},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-08-06T21:24:31.720299Z"},"links":{"citing_paper":"/paper/2507.00363"},"observation_digest":"sha256:005f0639f8322011ee0b8aad21d338bc0202cabab1719960c2a38a88cd83b16f","observation_id":"3907d37d-4eb1-473f-9a35-9c4d1feb25f3","resolution":{"observed_at":"2026-08-06T21:24:32.604507Z","resolver_source":"raw_fallback","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:24:31.829845Z","title":"Geogrambench: Bench- marking the geometric program reasoning in modern llms,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2507.00363","last_updated":"2025-07-01T01:29:31Z","snapshot_observed_at":"2026-08-07T00:25:59.881057Z","submitted_at":"2025-07-01T01:29:31Z","title":"GDGS: 3D Gaussian Splatting Via Geometry-Guided Initialization And Dynamic Density Control","version":1},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-08-06T21:24:31.829845Z"},"links":{"citing_paper":"/paper/2507.00363"},"observation_digest":"sha256:f3c00190c032173c9525012912b074108ebcaa616567cdc69d8685ffc76583fd","observation_id":"78be2c51-09bf-4c70-8af5-974ff8d86463","resolution":{"observed_at":"2026-08-06T21:24:31.829845Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2506.01277","last_updated":"2025-06-02T03:16:19Z","snapshot_observed_at":"2026-08-07T11:42:57.090766Z","submitted_at":"2025-06-02T03:16:19Z","title":"GeoLocSFT: Efficient Visual Geolocation via Supervised Fine-Tuning of Multimodal Foundation Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2506.01277","snapshot_observed_at":"2026-08-06T21:24:31.913301Z","title":"Geolocsft: Efficient visual geolocation via supervised fine-tuning of multimodal foundation models,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2507.00363","last_updated":"2025-07-01T01:29:31Z","snapshot_observed_at":"2026-08-07T00:25:59.881057Z","submitted_at":"2025-07-01T01:29:31Z","title":"GDGS: 3D Gaussian Splatting Via Geometry-Guided Initialization And Dynamic Density Control","version":1},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-08-06T21:24:31.913301Z"},"links":{"cited_paper":"/paper/2506.01277","citing_paper":"/paper/2507.00363"},"observation_digest":"sha256:0bf055d688a11e9a2f94bd3eab57c5fcfccc354d42253a813a16283ac3768e44","observation_id":"0a34a1ef-010f-4b43-8de7-cf7d9ee70961","resolution":{"observed_at":"2026-08-06T21:24:31.913301Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2506.07847","last_updated":"2025-06-09T15:09:49Z","snapshot_observed_at":"2026-08-07T05:21:44.165656Z","submitted_at":"2025-06-09T15:09:49Z","title":"F2Net: A Frequency-Fused Network for Ultra-High Resolution Remote Sensing Segmentation","version":1},"cited_work":{"arxiv_id":"2506.07847","doi":null,"metadata_source":"pith","pith_arxiv_id":"2506.07847","snapshot_observed_at":"2026-08-06T21:24:32.287492Z","title":"F2Net: A Frequency-Fused Network for Ultra-High Resolution Remote Sensing Segmentation","venue":"cs.CV","work_id":"b7e6b1bf-80ae-4bfc-8e9f-d7b1bd04b751","year":2025},"citing_paper":{"arxiv_id":"2507.00363","last_updated":"2025-07-01T01:29:31Z","snapshot_observed_at":"2026-08-07T00:25:59.881057Z","submitted_at":"2025-07-01T01:29:31Z","title":"GDGS: 3D Gaussian Splatting Via Geometry-Guided Initialization And Dynamic Density Control","version":1},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-08-06T21:24:31.978697Z"},"links":{"cited_paper":"/paper/2506.07847","citing_paper":"/paper/2507.00363"},"observation_digest":"sha256:b12034eaf3be210b44af63c4103251f5008e271b268db08bda8860ebccb6169a","observation_id":"87b74c0e-9019-4457-ae9a-d7ea6b91d551","resolution":{"observed_at":"2026-08-06T21:24:32.337142Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:24:34.450665Z","title":"Plenoxels: Radiance fields without neural networks,","venue":null,"work_id":"6cb47545-9ad6-4de0-bc15-bc87e7b9d3dc","year":2022},"citing_paper":{"arxiv_id":"2507.00363","last_updated":"2025-07-01T01:29:31Z","snapshot_observed_at":"2026-08-07T00:25:59.881057Z","submitted_at":"2025-07-01T01:29:31Z","title":"GDGS: 3D Gaussian Splatting Via Geometry-Guided Initialization And Dynamic Density Control","version":1},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-08-06T21:24:32.047495Z"},"links":{"citing_paper":"/paper/2507.00363"},"observation_digest":"sha256:7a133f0b6cc4befe15bc91c791b33f300ea7ada5c3c5f6a5c021eba51e9ba176","observation_id":"1d03b643-e53c-4a1e-a283-1ebc07d44254","resolution":{"observed_at":"2026-08-06T21:24:34.488092Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:24:34.295470Z","title":"Mip-nerf 360: Unbounded anti-aliased neural radiance fields,","venue":null,"work_id":"9949c3ba-8874-4aa3-8736-b28ec92b2a65","year":2022},"citing_paper":{"arxiv_id":"2507.00363","last_updated":"2025-07-01T01:29:31Z","snapshot_observed_at":"2026-08-07T00:25:59.881057Z","submitted_at":"2025-07-01T01:29:31Z","title":"GDGS: 3D Gaussian Splatting Via Geometry-Guided Initialization And Dynamic Density Control","version":1},"reference_index":60,"source":"pdf_text","source_observed_at":"2026-08-06T21:24:32.114758Z"},"links":{"citing_paper":"/paper/2507.00363"},"observation_digest":"sha256:338073d69d7072fc80d0915107f079729dafc359daba7b0172d39fe3727bf148","observation_id":"9f4129fd-c7f1-4fc3-824a-456fbcbb812c","resolution":{"observed_at":"2026-08-06T21:24:34.383346Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:24:34.054637Z","title":"Tanks and temples: Benchmarking large-scale scene reconstruction,","venue":null,"work_id":"ae807cc8-cf1d-4aa6-9e81-c16430b35258","year":2017},"citing_paper":{"arxiv_id":"2507.00363","last_updated":"2025-07-01T01:29:31Z","snapshot_observed_at":"2026-08-07T00:25:59.881057Z","submitted_at":"2025-07-01T01:29:31Z","title":"GDGS: 3D Gaussian Splatting Via Geometry-Guided Initialization And Dynamic Density Control","version":1},"reference_index":61,"source":"pdf_text","source_observed_at":"2026-08-06T21:24:32.201780Z"},"links":{"citing_paper":"/paper/2507.00363"},"observation_digest":"sha256:83c46aaaf09adc382073a29a409802b974d3ba74d5ee3aeb543e4b615554be84","observation_id":"7216851d-d8de-4589-93e4-4c5a064de84a","resolution":{"observed_at":"2026-08-06T21:24:34.190865Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2507.00363","last_updated":"2025-07-01T01:29:31Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-07T00:25:59.881057Z","submitted_at":"2025-07-01T01:29:31Z","title":"GDGS: 3D Gaussian Splatting Via Geometry-Guided Initialization And Dynamic Density Control"},"reference_resolution":{"displayed":61,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":7,"verified_exact":9,"verified_fuzzy":45},"total_outbound_references":61},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"thesis":"As of 7 August 2026, this Paper Citation Record lists 61 of 61 outbound references and 4 inbound Pith citation observations for arXiv:2507.00363."}